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The feasibility of using center frequency spectra in photoacoustic imaging for tissue characterization

Khodaverdi, Azin LU ; Larsson, Malin ; Wahldén, Klara ; Albinsson, John LU ; Malmsjö, Malin LU ; Reistad, Nina LU orcid ; Erlöv, Tobias LU and Cinthio, Magnus LU (2023) 2023 IEEE International Ultrasonics Symposium, IUS 2023 In IEEE International Ultrasonics Symposium, IUS
Abstract

In photoacoustic imaging, the amplitude of the photoacoustic signal is used for mapping the spatial distribution of a chromophore in the body and few studies have focused on the potential of using frequency content of the photoacoustic data. This study investigates the feasibility of using the photoacoustic center frequency spectrum in differentiating microspheres of various sizes and colors in phantoms. The microspheres with colors of green and blue, and the same size showed different center frequency spectrum shapes while keeping the offset (mean frequency) approximately the same. In addition, smaller microspheres showed higher center frequency offset, while larger microspheres showed smaller offset, suggesting the potential to use... (More)

In photoacoustic imaging, the amplitude of the photoacoustic signal is used for mapping the spatial distribution of a chromophore in the body and few studies have focused on the potential of using frequency content of the photoacoustic data. This study investigates the feasibility of using the photoacoustic center frequency spectrum in differentiating microspheres of various sizes and colors in phantoms. The microspheres with colors of green and blue, and the same size showed different center frequency spectrum shapes while keeping the offset (mean frequency) approximately the same. In addition, smaller microspheres showed higher center frequency offset, while larger microspheres showed smaller offset, suggesting the potential to use the center frequency spectrum for differentiating chromophores of various optical properties in the body.

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author
; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
center frequency spectrum, frequency analysis, photoacoustic imaging, quantitative imaging, spectrum analysis, tissue characterization
host publication
IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings
series title
IEEE International Ultrasonics Symposium, IUS
publisher
IEEE Computer Society
conference name
2023 IEEE International Ultrasonics Symposium, IUS 2023
conference location
Montreal, Canada
conference dates
2023-09-03 - 2023-09-08
external identifiers
  • scopus:85178633852
ISSN
1948-5719
1948-5727
ISBN
9798350346459
DOI
10.1109/IUS51837.2023.10307436
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2023 IEEE.
id
9fe9da87-3968-455d-9294-bebbd47e7c05
date added to LUP
2024-06-04 09:54:42
date last changed
2024-06-18 10:38:10
@inproceedings{9fe9da87-3968-455d-9294-bebbd47e7c05,
  abstract     = {{<p>In photoacoustic imaging, the amplitude of the photoacoustic signal is used for mapping the spatial distribution of a chromophore in the body and few studies have focused on the potential of using frequency content of the photoacoustic data. This study investigates the feasibility of using the photoacoustic center frequency spectrum in differentiating microspheres of various sizes and colors in phantoms. The microspheres with colors of green and blue, and the same size showed different center frequency spectrum shapes while keeping the offset (mean frequency) approximately the same. In addition, smaller microspheres showed higher center frequency offset, while larger microspheres showed smaller offset, suggesting the potential to use the center frequency spectrum for differentiating chromophores of various optical properties in the body.</p>}},
  author       = {{Khodaverdi, Azin and Larsson, Malin and Wahldén, Klara and Albinsson, John and Malmsjö, Malin and Reistad, Nina and Erlöv, Tobias and Cinthio, Magnus}},
  booktitle    = {{IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings}},
  isbn         = {{9798350346459}},
  issn         = {{1948-5719}},
  keywords     = {{center frequency spectrum; frequency analysis; photoacoustic imaging; quantitative imaging; spectrum analysis; tissue characterization}},
  language     = {{eng}},
  publisher    = {{IEEE Computer Society}},
  series       = {{IEEE International Ultrasonics Symposium, IUS}},
  title        = {{The feasibility of using center frequency spectra in photoacoustic imaging for tissue characterization}},
  url          = {{http://dx.doi.org/10.1109/IUS51837.2023.10307436}},
  doi          = {{10.1109/IUS51837.2023.10307436}},
  year         = {{2023}},
}